The earlier books, Parts I and II, have been reviewed in this journal.
Genetic programming has attracted a great deal of interest and as most readers
will know is a method for having a computer solve a problem by telling it what
needs to be done instead of how to do it. What is so worthwhile about this text
is that genetically evolved solutions are presented by the writers to dozens of
problems that range over: design, control, classification, system identification
and computational molecular biology. These solutions include more than a dozen
results that are competitive with human produced results and include
rediscoveries of previously patented inventions (see http//www.mkp.com)